{"id":"https://openalex.org/W2947465697","doi":"https://doi.org/10.18653/v1/p19-1605","title":"Unsupervised Paraphrasing without Translation","display_name":"Unsupervised Paraphrasing without Translation","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2947465697","doi":"https://doi.org/10.18653/v1/p19-1605","mag":"2947465697"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p19-1605","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1605","pdf_url":"https://www.aclweb.org/anthology/P19-1605.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/P19-1605.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110616102","display_name":"Aurko Roy","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aurko Roy","raw_affiliation_strings":["Google Research","Google,,,,,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google Research","institution_ids":["https://openalex.org/I1291425158"]},{"raw_affiliation_string":"Google,,,,,","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065912572","display_name":"David Grangier","orcid":"https://orcid.org/0000-0002-8847-9532"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Grangier","raw_affiliation_strings":["Google Research","Google,,,,,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google Research","institution_ids":["https://openalex.org/I1291425158"]},{"raw_affiliation_string":"Google,,,,,","institution_ids":["https://openalex.org/I1291425158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1291425158"],"apc_list":null,"apc_paid":null,"fwci":0.2187,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.49965271,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"6033","last_page":"6039"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/paraphrase","display_name":"Paraphrase","score":0.9783340692520142},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7687790989875793},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.7528468370437622},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7218923568725586},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6993237733840942},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.6546066999435425},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5694170594215393},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.43074822425842285}],"concepts":[{"id":"https://openalex.org/C2780922921","wikidata":"https://www.wikidata.org/wiki/Q255189","display_name":"Paraphrase","level":2,"score":0.9783340692520142},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7687790989875793},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.7528468370437622},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7218923568725586},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6993237733840942},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.6546066999435425},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5694170594215393},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.43074822425842285},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.18653/v1/p19-1605","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1605","pdf_url":"https://www.aclweb.org/anthology/P19-1605.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1905.12752","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1905.12752","pdf_url":"https://arxiv.org/pdf/1905.12752","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:2947465697","is_oa":true,"landing_page_url":"https://arxiv.org/abs/1905.12752","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1905.12752","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1905.12752","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.18653/v1/p19-1605","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1605","pdf_url":"https://www.aclweb.org/anthology/P19-1605.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7900000214576721,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2947465697.pdf","grobid_xml":"https://content.openalex.org/works/W2947465697.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W27508602","https://openalex.org/W131533222","https://openalex.org/W1521058074","https://openalex.org/W1980776243","https://openalex.org/W2028175314","https://openalex.org/W2051593977","https://openalex.org/W2082980366","https://openalex.org/W2086039194","https://openalex.org/W2101105183","https://openalex.org/W2107130271","https://openalex.org/W2118021410","https://openalex.org/W2129468719","https://openalex.org/W2143927888","https://openalex.org/W2145094598","https://openalex.org/W2154359981","https://openalex.org/W2154652894","https://openalex.org/W2161374612","https://openalex.org/W2186267129","https://openalex.org/W2251939518","https://openalex.org/W2252001469","https://openalex.org/W2626778328","https://openalex.org/W2741049976","https://openalex.org/W2753738274","https://openalex.org/W2760656271","https://openalex.org/W2766462485","https://openalex.org/W2789543585","https://openalex.org/W2796032388","https://openalex.org/W2798858969","https://openalex.org/W2798931235","https://openalex.org/W2804145368","https://openalex.org/W2896457183","https://openalex.org/W2951714314","https://openalex.org/W2951813108","https://openalex.org/W2952463445","https://openalex.org/W2962824887","https://openalex.org/W2963012544","https://openalex.org/W2963126845","https://openalex.org/W2963223306","https://openalex.org/W2963418779","https://openalex.org/W2963463583","https://openalex.org/W2963602293","https://openalex.org/W2963799213","https://openalex.org/W2964199361","https://openalex.org/W2964212550","https://openalex.org/W2964308564","https://openalex.org/W3104033643"],"related_works":["https://openalex.org/W2952481978","https://openalex.org/W3099309639","https://openalex.org/W3214594443","https://openalex.org/W3167969524","https://openalex.org/W2953369829","https://openalex.org/W760396729","https://openalex.org/W3198013311","https://openalex.org/W3031637020","https://openalex.org/W3173718692","https://openalex.org/W2989775785","https://openalex.org/W2250229103","https://openalex.org/W3101672304","https://openalex.org/W3029668006","https://openalex.org/W2798886742","https://openalex.org/W3213931957","https://openalex.org/W2780578493","https://openalex.org/W800621058","https://openalex.org/W37319627","https://openalex.org/W2969601548","https://openalex.org/W2952872461"],"abstract_inverted_index":{"Paraphrasing":[0],"exemplifies":[1],"the":[2],"ability":[3],"to":[4,41],"abstract":[5],"semantic":[6],"content":[7],"from":[8,45],"surface":[9],"forms.":[10],"Recent":[11],"work":[12,39],"on":[13],"automatic":[14],"paraphrasing":[15,43],"is":[16],"dominated":[17],"by":[18],"methods":[19],"leveraging":[20],"Machine":[21],"Translation":[22],"(MT)":[23],"as":[24],"an":[25,46],"intermediate":[26],"step.":[27],"This":[28,38],"contrasts":[29],"with":[30],"humans,":[31],"who":[32],"can":[33],"paraphrase":[34],"without":[35],"being":[36],"bilingual.":[37],"proposes":[40],"learn":[42],"models":[44],"unlabeled":[47],"monolingual":[48],"corpus":[49],"only.":[50],"To":[51],"that":[52],"end,":[53],"we":[54],"propose":[55],"a":[56],"residual":[57],"variant":[58],"of":[59],"vector-quantized":[60],"variational":[61],"auto-encoder.":[62]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}